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Tools for Decision Making Sections
Author Bio
Introduction
Probability Theory
Case Study 1: Patient History
Bayes' Theorem
Currently selected section: Methods for Estimating Pre-test Probability
Estimating Likelihood Ratios
Sensitivity and Specificity
Interpreting Test Results
Calculating Post-test Probabilities
Post-test Probabilities in Clinical Practice
Conclusions: Case Study 1
Part II
Part III
References


Chapter 14: Tools for Decision Making: Methods for Estimating Pre-test Probability
        

Subjective Estimates

The subjective evaluation method may be used to estimate pre-test probability. To apply this method, the physician first remembers her personal experience with similar patients. Then, she remembers the frequency of the disease in those patients.

In practice, this approach has two major problems:

  • It makes unrealistic demands on one's memory of patients in the distant past and their diagnoses.
  • It is prone to systematic errors (bias) in accurately recalling one's experience.
  • Subjective evaluation involves at least two problematic "heuristics" (the technical term for an educational method in which learning takes place through individual discovery, experimentation, or trial-and-error):

    On the other hand, "anchoring and adjustment" is a very useful heuristic in subjective evaluation. It involves two steps:

  • Establish an initial estimate based on the frequency of the disease in patients with similar chief complaints (the "anchor").
  • Example: Establish the prevalence of pulmonary embolism in 100 patients presenting to the emergency department with pleuritic chest pain.

  • Adjust the estimate upward or downward by taking into account the patient's findings ("adjustment").

    Example: For pulmonary embolism, relevant findings might include hypoxemia, unilateral leg swelling, or a history of cancer.


  • Question 1.5.1

    Can you see an analogy between "anchoring and adjustment" and Bayes' theorem?

    Bayes' Theorem: Post-test odds = pre-test odds x likehood ratio

  • What part of Bayes' theorem is analogous to the anchor?
  • Selection APost-test odds
    Selection BPre-test odds
    Selection CLikelihood ratio
    Selection DNone of the above
  • Which part is analogous to adjustment?
    Selection APost-test odds
    Selection BPre-test odds
    Selection CLikelihood ratio
    Selection DNone of the above


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